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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/1039275619 Title: Collaborative Computational Technologies for Biomedical Research Author: Sean Ekins; Maggie A Z Hupcey; Antony J Williams; Alpheus Bingham Publisher: New York, NY John Wiley & Sons 2011 ISBN/ISSN: 9781118026014 1118026012 9781118026038 1118026039 OCLC:1039275619

  
  

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Collaborative Computational Technologies for Biomedical Research

Author:	Sean Ekins; Maggie A Z Hupcey; Antony J Williams; Alpheus Bingham
Publisher:	New York, NY John Wiley & Sons 2011
Series:	Wiley Series on Technologies for the Pharmaceutical
Edition/Format:	eBook : Document : English : 1., AuflageView all editions and formats
Summary:	Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."--Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships. Serving as a user manual for collaborations. Tackling real problems from both human collaborative and data and informatics perspectives. Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader. A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.  Read more...
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Subjects	Drug development. Cooperation. Pharmaceutical industry -- Data processing. View all subjects
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